The Digital Marketing Maturity Guide helps organizations determine the level of sophistication within their digital marketing operations. Dimensional Research to conducted a global survey of 700 marketing professionals gauging the level of digital marketing maturity across various verticals and company sizes. Use these findings to benchmark your organization against other groups.

Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry
The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments.
By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models.
View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.

One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack.
Download the white paper to learn:
• How to detect known and unknown threats by applying high-volume graph-based technology, similar to the ones developed by Facebook and Google
• How CrowdStrike solved this challenge by building its own proprietary graph data model
• How CrowdStrike Threat Graph™ collects and analyzes massive volumes of security-related data to stop breaches

Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.

The bottom line is that those that have the most customer insight will win because they know what customers want.
So the question is how will you get that insight? What is it that you don’t know about customers in the market(s) that you operate in? Do you have all the attributes about customers in your MDM system that could be of value to your business? Do you know about all the relationships that your customers have in your MDM system?
In most cases, the answer to the above questions is no which inevitably means one thing. You need more data

A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamlessly integrate with diverse technologies, from data marts to Apache Hadoop systems. And it must automatically discover, protect and monitor sensitive information as part of big data applications.

High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.

Accessing, analyzing, and actioning with big data are among the key challenges facing every enterprise. In this detailed report from Forrester, you’ll see key drivers and challenges with Big Data, AND some clear recommendations on how to proceed. Get the white paper to see Forrester's key findings.

The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.

With organizations keeping larger and larger quantities of data the question will come up that given dropping storage costs, does uncontrolled data growth even matter? It does matter, and in this IBM publication featuring Gartner research you will learn about this ever growing problem and ways for information managers to address solutions.

Cloud, mobile, social media, and big data were once considered intimidating new technologies by CFOs; today they are the cornerstone of any successful financial department. That’s the evolution of digitization. The role of the CFO is evolving to become more strategic and CFOs of established firms are taking notice that going digital creates value.

As one of the fastest moving industries in terms of innovation and change, Information Technology is rife with predictions for what will be "the next big thing". Networking is undergoing a shift with the adoption of web-scale and open networking approaches. Fill out the form to the right to view our webinar and hear experts from Cumulus Networks, IPspace, and Facebook discuss their predictions for what will be the biggest changes and evolutions in data centers this year.

CTOs, CIOs, and application architects need access to datacenter facilities capable of handling the
broad range of content serving, Big Data/analytics, and archiving functions associated with the
systems of engagement and insight that they depend upon to better service customers and enhance
business outcomes. They need to enhance their existing datacenters, they need to accelerate the
building of new datacenters in new geographies, and they need to take greater advantage of
advanced, sophisticated datacenters designed, built, and operated by service providers. IDC terms
this business and datacenter transformation the shift to the 3rd Platform.

As we continue to move forward into an age of big data, optimization, and greater convenience through the capabilities of better networking technologies, opportunities have never been greater to use technology to make for a truly seamless hospitality experience. However, growing dependence on your network for everything from booking to entertainment can also mean that hospitality networks hold greater amounts of data than ever before. This makes them a tempting target for hackers.

As the healthcare industry continues to move forward into an age of big data, optimization, and greater coordination of care through the capabilities of better networking technologies, opportunities have never been greater to use technology to truly improve how healthcare professionals interacts with patients. However, growing dependence on your network for everything from medical records to billing information can also mean that healthcare networks hold greater amounts of data than ever before. This makes them a tempting target for hackers.

As we continue to move forward into an age of big data, optimization, and shared information through the capabilities of better networking technologies, opportunities have never been greater for using technology to improve the way the government interacts with constituents. However, increasing dependence on web and network services also makes government a tempting target for hackers. Distributed Denial of Service attacks, data breaches, leaks, the risks can be enormous. Recent events have shown us that now more than ever, government servers are getting victimized by well-funded teams of foreign hackers, possibly funded by their government.

This Infographic outlines the below:
The Data Environment
How Active is the Data?
Poor Data Behaviour Exposes Organisations to Risk
Organisations that Deploy Information Governance Strategies are more Successful at Achieving these Desired Outcomes